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Journal of Integrative Agriculture  2018, Vol. 17 Issue (04): 796-805    DOI: 10.1016/S2095-3119(17)61824-0
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Comparative proteomics analysis of maize (Zea mays) leaves infected by small brown planthopper (Laodelphax striatellus)
ZHAO Mei-ai1*, LEI Zhen1*, PEI Yu-he2, SHAO Xiao-yu1, GUO Xin-mei2, SONG Xi-yun
1 Key Laboratory of Plant Biotechnology in University of Shandong Province/College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, P.R.China
2 Key Laboratory of Qingdao Major Crop Germplasm Resource Innovation and Application/College of Agronomy, Qingdao Agricultural University, Qingdao 266109, P.R.China
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Abstract  Maize rough dwarf disease (MRDD) is a viral disease caused by brown planthopper infestation, and leads to great yield loss, especially in China.  Comparative proteomics was performed using maize inbred line Zheng 58 and LN 287.  MRDD pathogen was detected as rice black-streaked dwarf virus (RBSDV) by quantitative real time PCR (qRT-PCR) in Shandong Province, China.  The modified trichloroacetic acid (TCA)/acetone method was used for soluble protein extraction from leaves.  Two-dimensional electrophoresis (2-DE) analysis was performed on 24-cm long, pH 4-7 linear immobilized pH gradient (IPG) strips, and gels were stained with silver and coomassie brilliant blue.  We identified 944 proteins expressed in RBSDV infected maize leaves by proteomics approaches.  Among these, 44 protein spots that revealed a 1.5-fold difference in intensity were identified  by mass spectrometry between mock-inoculated and RBSDV infected samples.  Among these, 17 and 26 spots were up-regulated, and 27 and 18 spots were down-regulated in the virus infected samples of Zheng 58 and LN 287, respectively.  Differential protein spots were analyzed by mass spectrometry identification, which could be divided into six categories.  Furthermore, the expression of stress-related proteins was detected and confirmed by qRT-PCR.  This study lays the foundation for further investigations, enabling the enhancement of MRDD resistance in maize.
Keywords:  maize        MRDD        planthopper        2-DE        quantitative real-time PCR  
Received: 21 May 2017   Accepted:
Fund: 

This research was funded by the National Natural Science Foundation of China (31371636), the Modern Agricultural System of Shandong Province, China (SDAIT-01-022-01), the Key Research and Development Project of Shandong Province, China (2016GNC110018), and the Applied Basic Research Project of Qingdao, China (14-2-4-13-jch).

Corresponding Authors:  Correspondence SONG Xi-Yun, Tel: +86-532-86080002, Fax: +86-532-86080640, E-mail: songxy@qau.edu.cn    
About author:  ZHAO Mei-ai, E-mail: meiai2015@163.com; * These authors contributed equally to this study.

Cite this article: 

ZHAO Mei-ai, LEI Zhen, PEI Yu-he, SHAO Xiao-yu, GUO Xin-mei, SONG Xi-yun? . 2018. Comparative proteomics analysis of maize (Zea mays) leaves infected by small brown planthopper (Laodelphax striatellus). Journal of Integrative Agriculture, 17(04): 796-805.

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